DevTools · Data Platforms · 200–1000 · North America #b017_10

Context

We build a distributed relational database offered as software and as a managed cloud service to companies needing resilient transactions.

Industry

DevTools & Software · Data Platforms

Size

200–1000 employees

Region

North America

Tools budget

$5K–20K per month

Needs

Guardrails for AI agents and LLM apps. Staff are adopting AI assistants and agent connectors faster than we can set policies for what data they touch.

Today: a corporate security engineer building governance for staff AI tools and an internal model gateway · Urgency: now

Privacy & data protection (GDPR/HIPAA). Sensitive data leaks into SaaS tools and we need stronger loss prevention across them.

Today: SaaS access-broker and leak-prevention controls run by corporate security · Urgency: now

Audit evidence collection. Payment and health-sector customers ask for control evidence that we compile manually from many systems.

Today: a security team mapping controls to several frameworks with periodic assessments · Urgency: this year

Who decides

ciso security · security review

Expects from suppliers

Policy enforcement for AI tools and agent connections; Works with our own language model gateway; Clear audit logs

Not a fit

Blanket blocking of AI tools; Products that require routing all traffic through their cloud

Stack

multi-cloud, cloud: GCP-class hyperscaler, LLM APIs in production, compliance tooling in place

Buying triggers

AI adoption push, security incident risk